Authors :
Arineitwe Killian; Arinaitwe Anthony Henry; Dr. Asiimwe Enock
Volume/Issue :
Volume 11 - 2026, Issue 6 - June
Google Scholar :
https://tinyurl.com/33z6v6b8
Scribd :
https://tinyurl.com/3zmtzwyp
DOI :
https://doi.org/10.38124/ijisrt/26jun293
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
This study examines the effect of export composition on external sector stability in Uganda over the period 1995–
2025. Despite sustained export growth, Uganda continues to experience persistent external sector challenges, including
balance of payments deficits, exchange rate volatility, and low foreign reserve adequacy. The study specifically investigates
the effect of fuel exports, food exports, ores and metals exports, insurance and financial services exports, and ICT goods
exports on external sector stability, while controlling for exchange rate, inflation, and foreign direct investment. Using
annual time series data, the study employed the Auto-Regressive Distributed Lag (ARDL) bounds testing approach.
Stationarity was confirmed through the Augmented Dickey-Fuller (ADF) test, while model adequacy was validated using
diagnostic tests for autocorrelation, heteroskedasticity, normality, specification, and parameter stability (CUSUM squared).
The findings revealed that fuel exports exert a statistically significant negative effect on external sector stability in both the
short run and long run, implying that dependence on fuel exports increases Uganda’s vulnerability to external shocks and
commodity price fluctuations. In contrast, food exports were found to have a statistically significant positive effect on
external sector stability, indicating their important role in generating stable foreign exchange earnings and improving the
balance of payments position. However, ores and metals exports, insurance and financial services exports, and ICT goods
exports were found to be statistically insignificant. The Error Correction Term (ECT) was negative and statistically
significant, confirming the existence of a stable long-run equilibrium relationship among the variables and indicating a
relatively fast adjustment toward equilibrium following short-run shocks. The study concludes that export composition
significantly influences external sector stability in Uganda, although the effects differ across export categories. The study
recommends strengthening agricultural export competitiveness, promoting value addition, and accelerating export
diversification into higher-value manufacturing, ICT, and service sectors in order to enhance Uganda’s external resilience
and macroeconomic stability.
Keywords :
Export Composition, Exports, External Sector Stability, ARDL, BoP, and Uganda
References :
- AfDB. (2024a). Uganda Economic Outlook. Abidjan, Cote d'Ivoire: African Development Bank. From https://www.afdb.org/en/countries/east-africa/uganda/uganda-economic-outlook
- AfDB. (2024b). African Economic Outlook 2024: Mobilizing Private Sector Financing for Climate and Green Growth in Africa. Abidjan, Cote d'Ivoire: African Development Bank Group.
- AfDB. (2024c). African Economic Outlook 2024 Driving Africa’s Transformation: The Reform of the Global Financial Architecture. Abidjan, Cote d'Ivoire: African Development Bank.
- Aghion, P., & Howitt, P. (2009). The economics of growth. MIT Press.
- Alam, R., & Singla, N. (2024). Correlation. In Translational urology: Handbook for designing and conducting clinical and translational research, 125–129. doi:https://doi.org/10.1016/B978-0-323-90186-4.00075-4
- Arezki, R., & Brückner, M. (2012). Commodity windfalls, democracy and external balances. Economic Journal, 122(558), 848–866.
- Arineitwe, K., Abigaba, M., & Olyanga, A. M. (2025). The Effect of Public Debt, Economic Activity, and Exchange Rate on Trade Performance in Uganda (1980–2023). Account and Financial Management Journal e-ISSN: 2456-3374, 4191-4201.
- Auty, R. M. (1993). Sustaining development in mineral economies: The resource curse thesis. Routledge.
- Balassa, B. (1978). Exports and economic growth: Further evidence. Journal of Development Economics, 5(2), 181–189.
- Barrett, C. B., Reardon, T., Swinnen, J., & Zilberman, D. (2017). Structural transformation and agricultural productivity. . Annual Review of Resource Economics, 9, , 289–310.
- BoU. (2023). Annual report 2023. Kampala: Bank of Uganda.
- Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). . Lawrence Erlbaum Associates.
- Collier, P., & Venables, A. J. (2011). Plundered nations? Successes and failures in natural resource extraction. . Palgrave Macmillan.
- Enders, W. (2022). Applied econometric time series (4th ed.). Wiley.
- FAO. (2022). The state of agricultural commodity markets. . Food and Agriculture Organization of the United Nations.
- Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). . Sage Publications.
- Fleming, J. M. (1962). Domestic financial policies under fixed and floating exchange rates. IMF Staff Papers, 9(3), 369–380.
- Frank, A. G. (1967). Capitalism and underdevelopment in Latin America. Monthly Review Press.
- Goldsmith, R. W. (1969). Financial structure and development. . Yale University Press.
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.
- Hassler, U., & Wolters, J. (2021). Time series econometrics: A concise introduction. Springer.
- Humphreys, M., Sachs, J. D., & Stiglitz, J. E. (2007). Escaping the resource curse. . Columbia University Press.
- Jordan, S., & Philips, A. Q. (2018). Cointegration testing and dynamic simulations of autoregressive distributed lag models. The Stata Journal, 18(4), 902–923. doi:https://doi.org/10.1177/1536867X1801800409
- Kripfganz, S., & Schneider, D. C. (2020). Response surface regressions for critical value bounds and approximate p-values in equilibrium correction models. Oxford Bulletin of Economics and Statistics, 82(6), 1456–1481. doi:https://doi.org/10.1111/obes.12377
- Krugman, P. R., & Obstfeld, M. (2009). International economics: Theory and policy (8th ed.). Pearson Education.
- Krugman, P. R., & Obstfeld, M. (2018). International economics: Theory and policy (11th ed.). Pearson.
- Leightener, J. (2024). Open economy macroeconomic dynamics and external stability. International Journal of Economics and Finance, 16(2), 45–60.
- Levine, R. (2005). Finance and growth: Theory and evidence. In P. Aghion & S. Durlauf (Eds.). Handbook of economic growth (Vol. 1A, pp. 865–934). Elsevier.
- Lewis, W. A. (1954). Economic development with unlimited supplies of labour. The Manchester School, 22(2), 139–191.
- Lütkepohl, H. (2022). New introduction to multiple time series analysis (2nd ed). Springer.
- MEMD. (2022). Uganda mineral sector report. Kampala: Ministry of Energy and Mineral Development, Government of Uganda.
- Milesi-Ferretti, G. M., & Lane, P. R. (2011). The external wealth of nations revisited. Journal of International Economics, 80(1), , 1–14.
- Mocan, H. N. (1987). Business cycles and macroeconomic policy transmission mechanisms. Economic Inquiry, 25(4), 611–625.
- Mumbere, P. (2025). Uganda's Export Revenue soars by 21.8% in Q1 FY 2024/25. Kampla, Uganda: Nile Post.
- Mundell, R. A. (1963). Capital mobility and stabilization policy under fixed and flexible exchange rates. Canadian Journal of Economics and Political Science, 29(4), 475–485.
- Nguyen, T. (2022). Public debt and macroeconomic performance in developing economies. Journal of International Economic Policy, 14(1), 77–94.
- NITA-U. (2023). ICT sector performance report. Kampala: National Information Technology Authority Uganda, Government of Uganda.
- Nkoro, E., & Uko, A. K. (2016). Autoregressive Distributed Lag (ARDL) cointegration technique: Application and interpretation. Journal of Statistical and Econometric Methods, 5(4), , 63–91.
- Nyoro, J., & Ndirangu, L. (2018). Agricultural exports and macroeconomic stability in Africa. African Development Review, 30(3), 250–265.
- PACEID. (2023). Annual Performance Report. Kampala, Uganda: Presidential Advisory Committee on Exports and Industrial Developmet.
- Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326. doi:https://doi.org/10.1002/jae.616
- Prebisch, R. (1950). The economic development of Latin America and its principal problems. . United Nations.
- Prebisch, R. (1950). The economic development of Latin America and its principal problems. United Nations Economic Commission for Latin America.
- Reuters. (2024). World Bank cuts 2024 growth forecast for sub-Saharan Africa. From https://www.reuters.com/world/africa/world-bank-cuts-2024-growth-forecast-sub-saharan-africa-over-sudan-2024-10-14
- Romer, P. M. (1990). Endogenous technological change. Journal of Political Economy, 98(5, Part 2), S71–S102.
- Romer, P. M. (1990). Endogenous technological change. . Journal of Political Economy, 98(5), S71–S102.
- Sachs, J. D., & Warner, A. M. (2001). The curse of natural resources. European Economic Review, 45(4–6), 827–838.
- Schober, P., Boer, C., & Schwarte, L. A. (2018). Correlation coefficients: Appropriate use and interpretation. Anesthesia & Analgesia, 126(5), 1763–1768. doi:https://doi.org/10.1213/ANE.0000000000002864
- Slesman, L., Zakaria, M., & Shabbir, M. (2023). Fragility of FDI flows in sub-Saharan Africa region: does the paradox persist? Future Business Journal. From https://link.springer.com/article/10.1186/s43093-023-00184-6
- Timmer, C. P. (2009). A world without agriculture: The structural transformation in historical perspective. American Enterprise Institute.
- Todaro, M. P., & Smith, S. C. (2015). Economic development (12th ed.). Pearson Education.
- Turney, S. (2024). Pearson correlation coefficient (r): Guide and examples. Scribbr. doi:https://www.scribbr.com/statistics/pearson-correlation-coefficient/
- UCDA. (2021). Uganda coffee development authority annual report. Kampala: Government of Uganda.
- UNCTAD. (2022). Trade and development report. United Nations Conference on Trade and Development.
- Van der Ploeg, F. (2011). Natural resources: Curse or blessing? . Journal of Economic Literature, 49(2), 366–420.
- Wisniewski, S. J., & Brannan, G. D. (2024). Correlation (coefficient, partial, and Spearman rank) and regression analysis. In StatPearls. StatPearls Publishing.
- Wooldridge, J. M. (2020). Introductory econometrics: A modern approach (7th ed.). Cengage Learning.
- World Bank . (2022). World development report: Digital development. . Washington, DC: World Bank Group.
- World Bank. (2023). World development indicators. Washington, DC: World Bank Group.
- WorldBank. (2024a). Uganda Economic Update: Strengthening Uganda’s Economy Post-COVID-19. Washington, DC: World Bank Group. From https://www.worldbank.org/en/country/uganda
- WTO. (2024). WORLD TRADE REPORT 2024 Trade and inclusiveness How to make trade work for all. Geneva, Switzerland: World Trade Organisation.
This study examines the effect of export composition on external sector stability in Uganda over the period 1995–
2025. Despite sustained export growth, Uganda continues to experience persistent external sector challenges, including
balance of payments deficits, exchange rate volatility, and low foreign reserve adequacy. The study specifically investigates
the effect of fuel exports, food exports, ores and metals exports, insurance and financial services exports, and ICT goods
exports on external sector stability, while controlling for exchange rate, inflation, and foreign direct investment. Using
annual time series data, the study employed the Auto-Regressive Distributed Lag (ARDL) bounds testing approach.
Stationarity was confirmed through the Augmented Dickey-Fuller (ADF) test, while model adequacy was validated using
diagnostic tests for autocorrelation, heteroskedasticity, normality, specification, and parameter stability (CUSUM squared).
The findings revealed that fuel exports exert a statistically significant negative effect on external sector stability in both the
short run and long run, implying that dependence on fuel exports increases Uganda’s vulnerability to external shocks and
commodity price fluctuations. In contrast, food exports were found to have a statistically significant positive effect on
external sector stability, indicating their important role in generating stable foreign exchange earnings and improving the
balance of payments position. However, ores and metals exports, insurance and financial services exports, and ICT goods
exports were found to be statistically insignificant. The Error Correction Term (ECT) was negative and statistically
significant, confirming the existence of a stable long-run equilibrium relationship among the variables and indicating a
relatively fast adjustment toward equilibrium following short-run shocks. The study concludes that export composition
significantly influences external sector stability in Uganda, although the effects differ across export categories. The study
recommends strengthening agricultural export competitiveness, promoting value addition, and accelerating export
diversification into higher-value manufacturing, ICT, and service sectors in order to enhance Uganda’s external resilience
and macroeconomic stability.
Keywords :
Export Composition, Exports, External Sector Stability, ARDL, BoP, and Uganda